AI Forward Deployed Engineer

Tech Inc

San Jose, CA, United States

15 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Python (Programming Language) Operational Databases Software Engineering SQL Databases TypeScript Google Cloud Enterprise Software Applications

+7 more

Large Language Models Multi-Agent Systems Generative AI Kubernetes HuggingFace Api Management Docker

Job description

Client-Embedded Execution: Work shoulder-to-shoulder with strategic enterprise customers to deploy AI capabilities directly into their live production systems.
AI System Integration: Build and scale Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestrations, and API integrations connecting LLMs to internal databases and enterprise software.
Evaluations & Optimization: Create testing and evaluation frameworks to minimize hallucinations, measure model performance, track observability, and drive cost efficiencies.
Feedback Loop: Translate custom client deployment hurdles and recurring field requirements back into core product and model roadmaps.

Requirements

Engineering Stack: 3 5+ years of software development experience using Python, TypeScript, and SQL alongside full-stack system design.
AI Tooling: Hands-on experience with frameworks like LangChain, LangGraph, HuggingFace, vector databases, and model APIs (OpenAI, Anthropic, or similar).
Cloud & Infrastructure: Familiarity with deploying secure workloads via AWS, Azure, Google Cloud Platform, Docker, and Kubernetes within client environments.
Communication & Ambiguity: Exceptional stakeholder management skills to translate vague business problems into structured technical scope under pressure